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For Companies At a Glance
- Tasks: Design and implement observability solutions while optimizing system monitoring and performance.
- Company: Join a dynamic team focused on enhancing system observability across various methodologies.
- Benefits: Enjoy competitive salary, flexible work arrangements, and opportunities for professional development.
- Why this job: Be part of a collaborative environment that empowers you to train teams and innovate in observability.
- Qualifications: 5+ years in IT operations with hands-on experience in observability tools like DataDog and Grafana.
- Other info: Ideal for those passionate about data security and mentoring others in observability practices.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a skilled Observability Engineer to design, implement, and optimize observability solutions. This role involves working across various methodologies and integrating a diverse range of tools to enhance system monitoring, log aggregation, and performance optimization. The ideal candidate will have expertise in observability frameworks and tools, a strong understanding of data security principles, and the ability to train and empower teams.
Requirements
Observability Implementation & Development:
Design, develop, and implement observability solutions across diverse methodologies (Agile, SAFe, Waterfall, Kanban, DevOps).
Integrate tools such as DataDog, New Relic, ELK Stack, Kibana, and Grafana to create comprehensive monitoring and alerting capabilities.
Provide guidance on best practices for event management, log aggregation, and system performance monitoring.
Framework Development & Optimization:
Establish observability frameworks based on the Principle of Least Privilege, ensuring data security and compliance.
Optimize the cost-efficiency of observability tooling through strategic planning and implementation.
Operational Support & Team Enablement:
Roll out observability frameworks and capabilities to large-scale organizations, ensuring seamless integration into existing systems.
Upskill incumbent teams on new observability toolchains to enable effective dashboarding, incident resolution, and insight generation.
Lead training sessions and workshops to build team proficiency in monitoring and analytics.
5+ years of experience in IT operations, monitoring, and observability.
Minimum 3 years of hands-on experience with tools such as DataDog, New Relic, ELK Stack, Grafana, or Kibana.
Technical Expertise:
Proficiency in observability platforms and log management tools.
Strong scripting and automation skills using Python, Bash, or PowerShell.
Hands-on experience with CI/CD pipelines and DevOps tools such as Jenkins, GitLab, and Azure DevOps.
Familiarity with cloud platforms, particularly AWS, Azure, and GCP.
Tools, Technologies & Frameworks:
Observability: DataDog, New Relic, ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus.
Logging and Metrics: Fluentd, Logstash, CloudWatch, Azure Monitor.
Incident Management: ServiceNow, PagerDuty.
Frameworks: Agile, SAFe, DevOps, ITIL.
Soft Skills:
Strong analytical and problem-solving skills with attention to detail.
Excellent communication skills for collaboration with technical and non-technical stakeholders.
Ability to mentor and train teams on observability tools and practices
Monitoring & Incident Management:
Safeguard customer data within the observability ecosystem while adhering to security best practices.
Collaborate with cross-functional teams to troubleshoot and resolve incidents identified through observability tools.
Tool Evaluation & Prototyping:
Conduct Proof of Concepts (POC) for new observability tools and techniques.
Continuously evaluate and recommend enhancements to the observability ecosystem.
Education and Certification:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Certifications in tools like DataDog or cloud platforms (AWS, Azure, GCP) are highly desirable.
Preferred Qualifications:
Experience rolling out observability solutions in large-scale or complex environments.
Knowledge of hybrid cloud observability frameworks.
Expertise in cost optimization for observability tools and services.
Competitive salary and benefits package.
Opportunities for professional development and certification.
Flexible working arrangements and a collaborative team environment.
Observability Engineer employer: VE3
Contact Detail:
VE3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Observability Engineer
✨Tip Number 1
Familiarize yourself with the specific observability tools mentioned in the job description, such as DataDog, New Relic, and the ELK Stack. Having hands-on experience or even personal projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with different methodologies like Agile, DevOps, and SAFe. Be prepared to discuss how you've successfully implemented observability solutions in these environments during interviews.
✨Tip Number 3
Showcase your ability to train and empower teams. Prepare examples of past experiences where you led training sessions or workshops on observability tools, as this is a key aspect of the role.
✨Tip Number 4
Stay updated on the latest trends and best practices in observability and data security. Being knowledgeable about current developments will not only help you in interviews but also demonstrate your commitment to continuous learning.
We think you need these skills to ace Observability Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience with observability tools like DataDog, New Relic, and ELK Stack. Emphasize your hands-on experience and any relevant projects that showcase your skills in system monitoring and performance optimization.
Craft a Strong Cover Letter: In your cover letter, express your passion for observability engineering and detail how your background aligns with the job requirements. Mention specific methodologies you have worked with, such as Agile or DevOps, and how you have successfully implemented observability solutions in past roles.
Showcase Technical Expertise: Highlight your technical skills prominently, especially your proficiency in scripting languages like Python or Bash, and your experience with CI/CD pipelines. Provide examples of how you've used these skills to enhance observability frameworks or improve system performance.
Demonstrate Soft Skills: Don't forget to mention your soft skills, such as communication and problem-solving abilities. Provide examples of how you've mentored teams or collaborated with cross-functional groups to resolve incidents, as these are crucial for the role.
How to prepare for a job interview at VE3
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with observability tools like DataDog, New Relic, and ELK Stack. Highlight specific projects where you implemented these tools and the impact they had on system performance.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've tackled complex issues in observability or monitoring. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly convey your analytical approach.
✨Emphasize Team Enablement and Training
Since this role involves upskilling teams, be ready to share your experiences in mentoring or training others. Discuss any workshops or training sessions you've led and the outcomes of those initiatives.
✨Understand Security Principles
Familiarize yourself with the Principle of Least Privilege and other data security best practices. Be prepared to discuss how you ensure compliance and safeguard customer data within observability frameworks.
